Occlusion Outcomes in Unilateral Amblyopia Types: A Longitudinal and Interventional Study in Children from the Marrakech-Safi Region.

Objective: To investigate if the type of unilateral amblyopia can impact the improvement of visual acuity in amblyopic eyes during a longitudinal interventional study involving standard occlusion therapy in children.

Methods: A longitudinal and interventional study of 91 children, aged 3-9 years (6.12 ± 1.

Promising PD-1 antagonists for liver cancer: an evaluation of phase II and III results.

Introduction: Hepatocellular carcinoma (HCC), the most common primary liver cancer, is a major cause of cancer-related morbidity and mortality. Limited treatment options for advanced stages highlight the need for effective therapies.

Areas Covered: This review explores immune checkpoint inhibitors (ICIs), specifically PD-1, PD-L1, and CTLA-4 inhibitors, as emerging treatments for advanced HCC.

Compliance and Determinants of Spectacle Wear Among Moroccan Adults Residing Beni-Mellal Khénifra Region.

Background And Objective: Ensuring a high level of adherence to wearing spectacles is essential to preserve eye health and achieve optimal vision correction. Comprehending the factors influencing adherence to wearing spectacles can inform strategies to improve eye care outcomes. This study aimed to assess the prevalence and factors influencing adherence to wearing spectacles among Moroccan adults residing the Beni-Mellal Khenifra region.

Progressive erythrocytosis under lenvatinib treatment in patients with advanced hepatocellular carcinoma.

Purpose: This manuscript reports on the occurrence of early and frequent erythrocytosis in advanced hepatocellular carcinoma (HCC) patients treated with lenvatinib.

Methods: A cohort of 23 patients with advanced HCC, treated with this antiangiogenic drug for at least one month, was retrospectively analyzed.

Results: These patients (82.

Learning From Mouse CT-Scan Brain Images To Detect MRA-TOF Human Vasculatures.

The earlier studies on brain vasculature semantic segmentation used classical image analysis methods to extract the vascular tree from images. Nowadays, deep learning methods are widely exploited for various image analysis tasks. One of the strong restrictions when dealing with neural networks in the framework of semantic segmentation is the need to dispose of a ground truth segmentation dataset, on which the task will be learned.

Petersen Graph Multi-Orientation Based Multi-Scale Ternary Pattern (PGMO-MSTP): An Efficient Descriptor for Texture and Material Recognition.

Classifying and modeling texture images, especially those with significant rotation, illumination, scale, and view-point variations, is a hot topic in the computer vision field. Inspired by local graph structure (LGS), local ternary patterns (LTP), and their variants, this paper proposes a novel image feature descriptor for texture and material classification, which we call Petersen Graph Multi-Orientation based Multi-Scale Ternary Pattern (PGMO-MSTP). PGMO-MSTP is a histogram representation that efficiently encodes the joint information within an image across feature and scale spaces, exploiting the concepts of both LTP-like and LGS-like descriptors, in order to overcome the shortcomings of these approaches.

Sustained Remission After Treatment Withdrawal in Autoimmune Hepatitis: A Multicenter Retrospective Study.

Background: In patients with autoimmune hepatitis (AIH), relapse rates between 25 and 100% after treatment withdrawal have been reported. The optimal strategy for immunosuppressive treatment withdrawal is controversial.

Aim: To identify the predictive factors of histological remission and to assess the relapse rate after treatment withdrawal in AIH patients with prolonged biochemical response.

Building roof segmentation from aerial images using a lineand region-based watershed segmentation technique.

In this paper, we present a novel strategy for roof segmentation from aerial images (orthophotoplans) based on the cooperation of edge- and region-based segmentation methods. The proposed strategy is composed of three major steps. The first one, called the pre-processing step, consists of simplifying the acquired image with an appropriate couple of invariant and gradient, optimized for the application, in order to limit illumination changes (shadows, brightness, etc.

Clinical validation of the planar radionuclide ventriculography in patients with right ventricular dysfunction.

Objectives: Gated radionuclide ventriculography (RNV) may be used for the evaluation of the right ventricular function. However, the accuracy of the method should be clinically validated in patients suffering from diseases with specific pathology of the right ventricle (RV) and with possible left ventricular (LV) interaction.

Methods: Three groups of 15 patients each, diagnosed with arrhythmogenic right ventricular dysplasia (ARVD), pulmonary artery hypertension (PAH) or atrial septal defect (ASD) were compared to a group of normal subjects.

Scintigraphic spectrum of a patient population with suspected arrhythmogenic right ventricular dysplasia.

Gated radionuclide ventriculography (RNV), combined with inter- and intraventricular dyssynchrony measurement by phase analysis, is able to evidence right and left ventricular mechanical cardiac disorders and may contribute to the diagnosis of arrhythmogenic right ventricular dysplasia (ARVD). Nevertheless, the patients referred for suspicion of ARVD on the basis of symptoms, electrical abnormalities or family history of sudden death, are very heterogeneous and the examination findings spread out from strictly normal to severely abnormal. In order to describe the patient population encountered in "real life" we propose to use an automatic clustering method based on RNV results in order to segment the overall population into subgroups with coherent scintigraphic data in each one.